DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images. - Sihang Chen; Jixiang Guo; Chengdi Wang; Xiuyuan Xu; Zhang Yi 001; Weimin Li 003 (J. Medical Syst., 2019)

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images. - Xiuyuan Xu; Chengdi Wang; Jixiang Guo; Lan Yang; Hongli Bai; Weimin Li 003; Zhang Yi 001 (Knowl. Based Syst., 2020)

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. - Xiuyuan Xu; Chengdi Wang; Jixiang Guo; Yuncui Gan; Jianyong Wang 002; Hongli Bai; Lei Zhang 005; Weimin Li 003; Zhang Yi 001 (Medical Image Anal., 2020)

RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning. - Jinxin Liu; Chengdi Wang; Jixiang Guo; Jun Shao; Xiuyuan Xu; Xiaoxin Liu; Hongxia Li; Weimin Li 003; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2021)

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation. - Hong-Yu Zhou; Chengdi Wang; Haofeng Li; Gang Wang; Shu Zhang 001; Weimin Li 003; Yizhou Yu (Medical Image Anal., 2021)

Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks. - Qiuyu Du; Shufan Liang; Jixiang Guo; Zhang Yi 001; Weiming Li; Chengdi Wang; Xiuyuan Xu (CICAI (2), 2022)

Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. - Chengdi Wang; Jiechao Ma; Shu Zhang 001; Jun Shao; Yanyan Wang; Hong-Yu Zhou; Lujia Song; Jie Zheng; Yizhou Yu; Weimin Li 003 (npj Digit. Medicine, 2022)

Box2Pseudo: A Semi-Supervised Learning Framework for Pulmonary Nodule Segmentation with Box-Prompt Pseudo Supervision. - Siqi Zhang; Jingkun Yue; Chengdi Wang; Xiaohong Liu; Guangyu Wang (BIBM, 2023)

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. - Hong-Yu Zhou; Yizhou Yu; Chengdi Wang; Shu Zhang 001; Yuanxu Gao; Jia Pan; Jun Shao; Guangming Lu; Kang Zhang; Weimin Li 003 (CoRR, 2023)

The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks. - Quan Guo; Chengdi Wang; Jixiang Guo; Hongli Bai; Xiuyuan Xu; Lan Yang; Jianyong Wang 002; Nan Chen; Zihuai Wang; Yuncui Gan; Lunxu Liu; Weimin Li 003; et al. (Comput. Methods Programs Biomed., 2023)

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation. - Aibing Li; Xinyi Zeng; Pinxian Zeng; Sixian Ding; Peng Wang; Chengdi Wang; Yan Wang 015 (MICCAI (8), 2024)

ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation. - Xinyi Zeng; Pinxian Zeng; Jiaqi Cui; Aibing Li; Bo Liu 095; Chengdi Wang; Yan Wang 015 (MICCAI (9), 2024)